Information processing apparatus, information processing method, and program

ABSTRACT

Provided is an information processing apparatus including a processing unit configured to evaluate an evaluation target on a basis of target data regarding the evaluation target acquired from blockchain data circulated on a peer-to-peer network.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a continuation of U.S. Ser. No. 15/769,149 filedApr. 18, 2018, the entire content of which is incorporated herein byreference. U.S. Ser. No. 15/769,149 is a national stage ofPCT/JP2016/080200 filed Oct. 12, 2016, and also claims priority under 35U.S.C. 119 to Japanese Application No. 2015-228407 filed Nov. 24, 2015.

TECHNICAL FIELD

The present disclosure relates to an information processing apparatus,an information processing method, and a program.

BACKGROUND ART

Technologies for managing evaluation information provided fromevaluators via networks have been developed. As a technology formanaging evaluation information provided from an evaluator via a networkin a server, for example, a technology disclosed in the following PatentLiterature 1 can be exemplified.

CITATION LIST Patent Literature

Patent Literature 1: JP 2003-187053A

DISCLOSURE OF INVENTION Technical Problem

For example, when a case in which an evaluation target is evaluated,such as a case in which a test result of an evaluation target user isevaluated or a case in which a learning result of the evaluation targetuser is evaluated, is assumed, whether the test result or the learningresult of the user is good changes depending on a criterion of eachevaluator (or an evaluation organization; hereinafter the same appliesbelow) of a university, a company, or the like in some cases. Further,when each of the foregoing cases is assumed, an evaluator and amaintainer (or a maintaining organization) that has the test result ofthe evaluation target user or the learning result of the evaluationtarget user are different in some cases.

Here, as a method of realizing evaluation of an evaluation target by acriterion of each evaluator, for example, “a method in which target dataregarding an evaluation target is maintained on a network, eachevaluator acquires the target data regarding the evaluation target fromthe network, and the evaluation target is evaluated by a criterion ofeach evaluator” is considered. However, there is no “structure in whicheach evaluator can acquire target data regarding an evaluation targetmaintained on a network and evaluate the evaluation target by acriterion of each evaluator.”

The present disclosure proposes a novel and improved informationprocessing apparatus, a novel and improved information processingmethod, and a novel and improved program capable of realizing evaluationof an evaluation target based on target data regarding the evaluationtarget maintained on a network.

Solution to Problem

According to the present disclosure, there is provided an informationprocessing apparatus including a processing unit configured to evaluatean evaluation target on a basis of target data regarding the evaluationtarget acquired from blockchain data circulated on a peer-to-peernetwork.

In addition. according to the present disclosure, there is provided aninformation processing method to be performed by an informationprocessing apparatus, the information processing method including a stepof evaluating an evaluation target on a basis of target data regardingthe evaluation target acquired from blockchain data circulated on apeer-to-peer network.

In addition. according to the present disclosure, there is provided aprogram causing a computer to execute a function of evaluating anevaluation target on a basis of target data regarding the evaluationtarget acquired from blockchain data circulated on a peer-to-peernetwork.

Advantageous Effects of Invention

According to the present disclosure, it is possible to realizeevaluation of an evaluation target based on target data regarding theevaluation target maintained on a network.

Note that the effects described above are not necessarily limitative.With or in the place of the above effects, there may be achieved any oneof the effects described in this specification or other effects that maybe grasped from this specification.

BRIEF DESCRIPTION OF DRAWINGS

FIG. 1 is an explanatory diagram illustrating an overview of aninformation processing method according to an embodiment.

FIG. 2 is an explanatory diagram illustrating an example of a use caseto which the information processing method according to the embodimentis applied.

FIG. 3 is an explanatory diagram illustrating an example of a use caseto which the information processing method according to the embodimentis applied.

FIG. 4 is an explanatory diagram illustrating an example of a use caseto which the information processing method according to the embodimentis applied.

FIG. 5 is an explanatory diagram illustrating an example of a use caseto which the information processing method according to the embodimentis applied.

FIG. 6 is an explanatory diagram illustrating an example of a use caseto which the information processing method according to the embodimentis applied.

FIG. 7 is an explanatory diagram illustrating an example of a use caseto which the information processing method according to the embodimentis applied.

FIG. 8 is an explanatory diagram illustrating an example of a use caseto which the information processing method according to the embodimentis applied.

FIG. 9 is an explanatory diagram illustrating an example of a use caseto which the information processing method according to the embodimentis applied.

FIG. 10 is an explanatory diagram illustrating an example of a use caseto which the information processing method according to the embodimentis applied.

FIG. 11 is an explanatory diagram illustrating an example of a use caseto which the information processing method according to the embodimentis applied.

FIG. 12 is a block diagram illustrating an example of a configuration ofan information processing apparatus according to the present embodiment.

FIG. 13 is an explanatory diagram illustrating an example of a hardwareconfiguration of the information processing apparatus according to thepresent embodiment.

MODE(S) FOR CARRYING OUT THE INVENTION

Hereinafter, (a) preferred embodiment(s) of the present disclosure willbe described in detail with reference to the appended drawings. Notethat, in this specification and the appended drawings, structuralelements that have substantially the same function and structure aredenoted with the same reference numerals, and repeated explanation ofthese structural elements is omitted.

Further, in the following description, description will be provided inthe following order.

1. Information processing method according to the present embodiment

2. Information processing apparatus according to the present embodiment

3. Program according to the present embodiment

(Information Processing Method According to the Present Embodiment)

First, an information processing method according to an embodiment willbe described. Hereinafter, a case in which a process related to theinformation processing method according to the embodiment is performedby an information processing apparatus according to the embodiment willbe exemplified.

[1] Method of Acquiring Data in Information Processing Method Accordingto Embodiment

As described above, as a method of realizing evaluation of an evaluationtarget by a criterion of each evaluator, for example, “a method in whichtarget data regarding an evaluation target is maintained on a network,each evaluator acquires the target data regarding the evaluation targetfrom the network, and the evaluation target is evaluated by a criterionof each evaluator” is considered.

Here, when the target data regarding the evaluation target is altered, alegitimate evaluation result may not be expected to be obtained. Forthis reason, the target data of the evaluation target is preferablymaintained on the network, for example, in a form in which the targetdata is not altered (or a form in which an alternation possibility islow). Note that the target data according to the embodiment will bedescribed later.

Accordingly, first a data acquisition method in the informationprocessing method according to the embodiment will be described.

In the information processing method according to the embodiment, forexample, “retention of target data regarding an evaluation target on anetwork in an unaltered form” is realized by using blockchain datacirculated in a peer-to-peer network. The peer-to-peer network is alsoreferred to as a peer-to-peer distributed file system in some cases.Hereinafter, the peer-to-peer network is referred to as a “P2P network”in some cases.

Here, the blockchain data according to the embodiment is data in which aplurality of blocks are connected and included like chains. In eachblock, one or two or more pieces of target data can be stored as atransaction.

As the blockchain data according to the embodiment, for example,blockchain data used to exchange data of virtual currency such asBitcoin can be exemplified. In the blockchain data used to exchange dataof virtual currency, for example, alternation is prevented by datacalled nonce, which is used to prevent camouflage in authentication inwhich a hash is used. As the nonce, for example, data indicating acharacter string, a digit string, or a combination thereof can beexemplified. Further, in the blockchain data used to exchange data ofBitcoin, data of each transaction is not encrypted and electronicsignature in which a cryptographic key is used is assigned, and thus thedata of each transaction is made public. On the other hand, for example,there is a technology for maintaining a digital asset on a blockchain ofBitcoin as in Colored Coin. In this case, a design can be realized suchthat only a specific apparatus that possesses a correspondingcryptographic key (an apparatus capable of decrypting encrypted data)can ascertain content of data on a blockchain.

In a case in which the information processing method according to theembodiment is used, for example, a side chain technology can be used toinclude target data regarding an evaluation target in blockchain dataused to exchange data of existing virtual currency, such as blockchaindata of Bitcoin. That is, in the information processing method accordingto the embodiment, for example, a network of a network formed byunspecified participants (so-called “permissionless system”, such asnetworks related to Bitcoin, can be used.

Further, a network in which the information processing method accordingto the embodiment can be used is not limited to the foregoing example.

For example, in the information processing method according to theembodiment, a network (a network of a so-called “permissioned system”)formed by only authenticated participants (trustworthy participants),such as Private Pools of HyperLedger, can also be used. By using thenetwork formed by only the participants authenticated in the foregoingway, it is possible to further improve reliability of data which is on anetwork than in a case in which a network formed by unspecifiedparticipants is used. Further, a service of a permissioned system canalso be designed on a network of a permissionless system. In a case inwhich a blockchain technology is ascertained as a distributed ledger,for example, centralized setting of a manager capable of performingwriting on a ledger or whether to motivate another person to provide aresource for management of a decentralized management ledger can beflexibly selected in accordance with architecture design of a service.

Further, a network in which the information processing method accordingto the embodiment is used is not limited to the foregoing existingnetworks used for other purposes and may be a peer-to-peer network inwhich blockchain data used in only the information processing methodaccording to the embodiment is circulated.

Here, in a case in which blockchain data is used, in order to generate anew block, a process using calculation resources called mining isnecessary. Accordingly, in a case in which a peer-to-peer network inwhich blockchain data used only in the information processing methodaccording to the embodiment is circulated is used, a reward may be givento a person who performs generation of a block. A reward in the case inwhich a peer-to-peer network in which blockchain data used in only theinformation processing method according to the embodiment is circulatedcan be realized by a special transaction called a coin base in, forexample, a peer-to-peer network in which existing block chain data iscirculated. Further, a reward in the case in which a peer-to-peernetwork in which blockchain data used in only the information processingmethod according to the embodiment is circulated may be, for example, areward which can be a motivation for generating a block and is given inaccordance with any method.

Further, the information processing method according to the embodimentis not limited to the use of the peer-to-peer network in which theblockchain data is circulated. For example, any peer-to-peer network inwhich confidentiality is guaranteed because of encryption can also beused.

Hereinafter, a process related to the information processing methodaccording to the embodiment will be described mainly exemplifying a casein which an existing peer-to-peer network related to Bitcoin is used.

[2] Process Related to Information Processing Method According toEmbodiment

The information processing apparatus according to the embodimentevaluates an evaluation target on the basis of target data regarding theevaluation target acquired from blockchain data circulated in apeer-to-peer network (an evaluation process).

The information processing apparatus according to the embodimentacquires target data corresponding to an evaluation target fromblockchain data by performing decryption with a cryptographic keycorresponding to the evaluation target. Here, as the cryptographic keycorresponding to the evaluation target, for example, a secret keycorresponding to a public key used to encrypt the target data can beexemplified. The public key is generated from a secret key of anevaluation target, as will be described below.

The cryptographic key corresponding to the evaluation target isacquired, for example, when an evaluation request including a command toexecute the evaluation process and the cryptographic key is acquired.Further, the secret key corresponding to the evaluation target may berecorded on a storage unit (to be described below) or a recording mediumsuch as an external recording medium connected to the informationprocessing apparatus according to the embodiment at the time of applyinga request for using an evaluation service through the evaluation processand may be acquired by reading the secret key from the recording medium.

When a case in which an existing peer-to-peer network related to Bitcoinis used is exemplified, an address equivalent to a Bitcoin address isgenerated from the secret key of a user. Specifically, a public keycorresponding to the secret key is generated from the secret key of theuser and an address is generated with the generated public key.Accordingly, data designated by the address is not decrypted when thereis no secret key corresponding to the public key used to generate theaddress.

Further, in a case in which an existing peer-to-peer network related toBitcoin is used, a plurality of addresses can be managed with a walletas in the structure of Bitcoin.

FIG. 1 is an explanatory diagram illustrating an overview of theinformation processing method according to the embodiment. Management ofthe plurality of addresses with the wallet is expressed in, for example,an image in which a plurality of wallets are stored in one wallet, asillustrated in FIG. 1.

In a case in which an existing peer-to-peer network related to Bitcoinis used, target data can be sent from an address to an address as in acase in which Bitcoin is sent.

Further, the information processing apparatus according to theembodiment evaluates the evaluation target in accordance with targetdata corresponding to the evaluation target and an evaluation index setto correspond to the evaluation target. The evaluation index accordingto the embodiment may be a fixed evaluation index that is set in advanceor may be a variable evaluation index that can be changed through amanipulation of a user or the like of the information processingapparatus according to the embodiment.

When the information processing apparatus according to the embodimentevaluates the evaluation target in accordance with the evaluation indexset to correspond to the evaluation target, the information processingapparatus according to the embodiment can evaluate the evaluation targetby a set independent criterion. Accordingly, when the informationprocessing apparatus according to the embodiment evaluates theevaluation target in accordance with the evaluation index set tocorrespond to the evaluation target, evaluation of the evaluation targetin accordance with the criterion of each evaluator is realized.

The information processing apparatus according to the embodiment mayevaluate the evaluation target on the basis of one piece of target datacorresponding to the evaluation target or may also evaluate theevaluation value on the basis of a plurality of pieces of target datacorresponding to the evaluation target. Here, by evaluating theplurality of pieces of target data corresponding to the evaluationtarget, for example, “evaluation of a history of details indicated bythe target data corresponding to the evaluation target” or“comprehensive evaluation of content indicated by each of the pluralityof pieces of target data corresponding to the evaluation target” isrealized.

Further, an example of the evaluation index according to the embodimentand an example of evaluation of the evaluation target in which theevaluation index is used will be described later.

Here, as the evaluation target according to the embodiment, for example,a “person (hereinafter a person who is the evaluation target is referredto as a ‘user’),” a “company, party, or organization,” or an “object”can be exemplified.

Further, as the target data according to the embodiment and theevaluation of the evaluation target using the evaluation index based onthe target data, examples described in the following (a) to (c) can beexemplified. Further, it is needless to say that examples of the targetdata according to the embodiment and the evaluation of the evaluationtarget based on the target data are not limited to the examplesdescribed in the following (a) to (c).

(a) Example of Target Data Related to User

(a-1) Data Indicating Test Result

In a case in which the target data is data indicating a test result, theinformation processing apparatus according to the embodiment evaluates atest result of the user.

As data indicating the test result, for example, one or both of data inwhich the test result of the user is indicated by a numerical value(hereinafter referred to as “first data”) and data in which the testresult of the user is indicated by a value other than a numerical value(hereinafter referred to as “second data”) can be exemplified. As thefirst data according to the embodiment, for example, data indicating ascore of questions given to the user can be exemplified. Further, as thesecond data according to the embodiment, for example, one or both ofcontent of answers to the questions and correct and incorrect answers tothe questions can be exemplified.

Further, the data indicating the test result may further include dataindicating a state in which the user takes a test or an environment inwhich the user takes the test (hereinafter referred to as “third data”in some cases).

As the third data indicating the state at the time at which the usertakes the test, for example, data indicating one or two or more of “ananswer time of questions,” “a motion of a visual line of the user who isan examinee,” “a change of an attitude of the user who is an examinee,”“a user state such as a heart rate, an amount of perspiration, a bodytemperature, a blood oxygen level, or an electrocardiogram of the userwho is an examinee,” “a manipulation state on a device used for a testsuch as an input speed of a keyboard or a motion of a pointer,” and“application states other than an application related to the test (or asituation of the other applications)” can be exemplified. The third dataindicating the state at the time at which the user takes the test isgenerated by, for example, a server that performs a process related to atest, such as supply of questions to the user or reception of theanswers, or a biological sensor mounted on a user who is an examinee.

Further, as the third data indicating the environment in which the usertakes the test, for example, one or both of “positional informationindicating the position of the user” and “environment informationindicating an environment related to the user” can be exemplified. Asthe positional information, for example, data indicating a detectionresult of a device capable of specifying the position of a globalnavigation satellite system (GNSS) device or the like (or dataindicating an estimation result of a device capable of estimating theposition in accordance with any scheme) can be exemplified. Further, asthe environment information, for example, data indicating one or two ormore of “data indicating a distance between the user and a device usedfor the test,” “data indicating brightness around the user,” “dataindicating a temperature around the user,” “data indicating atmosphericpressure around the user,” and “data indicating humidity around theuser” can be exemplified. The environment information is generated by,for example, one or two or more sensors such as a distance sensor and anilluminance sensor. For example, any of the above-described varioussensors may be worn by the user or may be included in any device usedfor the user to take the test. Further, any of the above-describedvarious sensors may be included in, for example, a locationcorresponding to the test, such as a desk on which the user takes thetest.

Further, the third data according to the embodiment may include dataindicating the same kind of detection result based on detected data of aplurality of different sensors or devices. As one example of the dataindicating the same kind of detection result, “data indicating a changein the attitude of the user estimated from detected data of an attitudesensor (for example, an acceleration sensor and an angular velocitysensor) worn by the user” and “data indicating a change in the attitudeof the user estimated from a captured image generated by an imagingdevice that images the user” can be exemplified.

The information processing apparatus according to the embodimentdetermines the test result of the user, for example, by determiningwhether the test result indicated by the data indicating the test resultsatisfies one or two or more set conditions (examples of the evaluationindex). Here, a determination result of the test result of the user isequivalent to a result obtained by evaluating the user.

As one example, the information processing apparatus according to theembodiment evaluates the test result of the user, for example, bycomparing the numerical value specified on the basis of the target datawith one or two or more set predetermined thresholds.

A threshold process in which the set predetermined thresholds are usedis equivalent to a process of determining whether the evaluation indexis satisfied. As the predetermined threshold according to theembodiment, for example, a fixed threshold that is set in advance or avariable threshold that can be changed through a manipulation by a useror the like of the information processing apparatus according to theembodiment can be exemplified.

Here, for example, in a case in which the target data includes firstdata in which the test result of the user is indicated by a numericalvalue, the numerical value specified on the basis of the target data isspecified on the basis of the numerical value indicated by the firstdata.

The information processing apparatus according to the embodiment sets,for example, the numerical value indicated by the first data as thenumerical value specified on the basis of the target data.

Further, in a case in which the evaluation target is evaluated using aplurality of pieces of target data, the information processing apparatusaccording to the embodiment may calculate, for example, a numericalvalue on the basis of the plurality of pieces of first data and set thecalculated numerical value as the numerical value specified on the basisof the target data. As the numerical value calculated on the basis ofthe plurality of pieces of first data, for example, an addition value ofthe numerical value indicated by each of the plurality of pieces offirst data can be exemplified.

Further, in a case in which the target data includes second data inwhich the test result of the user is indicated by a value other than anumerical value, the numerical value specified on the basis of thetarget data may be specified on the basis of the numerical valueacquired on the basis of the second data.

The information processing apparatus according to the embodimentacquires a numerical value corresponding to the second data withreference to, for example, a table (or a database; the same appliesbelow) in which content indicated by the second data matches thenumerical value. Here, the table is stored in, for example, a recordingmedium such as a storage unit (to be described below).

Then, the information processing apparatus according to the embodimentsets the acquired numerical value corresponding to the second data tothe numerical value specified on the basis of the target data.

Further, in a case in which the evaluation target is evaluated using theplurality of pieces of target data, the information processing apparatusaccording to the embodiment may calculate, for example, a numericalvalue on the basis of the plurality of pieces of second data and set thecalculated numerical value to the numerical value specified on the basisof the target data. As the numerical value calculated on the basis ofthe plurality of pieces of second data, for example, an addition valuesuch as a numerical value corresponding to each piece of second dataacquired on the basis of each of the plurality of pieces of the seconddata can be exemplified.

Further, for example, in a case in which the target data includes boththe first data and the second data, the numerical value specified on thebasis of the target data may be specified on the basis of a numericalvalue indicated by the first data and a numerical value acquired on thebasis of the second data. For example, the information processingapparatus according to the embodiment sets an addition value or the likeof the numerical value indicated by the first data and the numericalvalue corresponding to the second data to a numerical value specified onthe basis of the target data.

In a case in which the target data is data indicating a test result, theinformation processing apparatus according to the embodiment evaluatesthe test result of the user, for example, by comparing a numerical valuespecified on the basis of one or both of the first data and the seconddata included in the target data with the one or two or more setpredetermined thresholds, as described above.

Further, the evaluation process in the case in which the target data isthe data indicating the test result is not limited to the foregoingexample.

For example, in a case in which the target data further includes thethird data indicating the state in which the user takes the test or theenvironment in which the user takes the test, the information processingapparatus according to the embodiment can evaluate the test result ofthe user further on the basis of the third data. As the process ofevaluating the test result of the user on the basis of the third data,for example, one or both of a process described in the following (i) anda process described in the following (ii) can be exemplified.

(i) First Example of Process of Evaluating Test Result of User on Basisof Third Data

The information processing apparatus according to the embodiment adjuststhe numerical value specified on the basis of the above-described targetdata on the basis of the third data.

The information processing apparatus according to the embodimentacquires an adjustment value corresponding to the third data withreference to, for example, a table in which content indicated by thethird data matches the adjustment value (or a database; the same appliesbelow). Here, the table is stored in, for example, a recording mediumsuch as a storage unit (to be described below). Then, the informationprocessing apparatus according to the embodiment adjusts the numericalvalue specified on the basis of the above-described data by adding theacquired adjustment value corresponding to the third data to thenumerical value specified on the basis of the above-described targetdata.

Then, when the numerical value specified on the basis of the target datais adjusted, the information processing apparatus according to theembodiment evaluates the test result of the user by comparing theadjusted numerical value with one or two or more predeterminedthresholds.

(ii) Second Example of Process of Evaluating Test Result of User onBasis of Third Data

In the case in which the target data further includes the third dataindicating the state in which the user takes the test or the environmentin which the user takes the test, the information processing apparatusaccording to the embodiment further determines legitimacy of the testresult on the basis of the third data.

As one example, in a case in which an answer time of the questions(which is an example of content indicated by the third data) is lessthan a set threshold (or a case in which the answer time of thequestions is equal to or less than the threshold), the informationprocessing apparatus according to the embodiment determines that thetest result is not legitimate (or is illegal). Here, as the thresholdrelated to the foregoing determination of the legitimacy of the testresult, for example, a fixed threshold that is set in advance, avariable threshold that can be changed through a manipulation by theuser or the like of the information processing apparatus according tothe embodiment, or a threshold that is set in accordance with a learningresult of the answer time of the questions corresponding to theillegitimate test result can be exemplified.

As another example, in a case in which a motion of a visual line of theuser who is an examinee (which is an example of the content indicated bythe third data) is greater than a set threshold (or a case in which themotion of the visual line of the user is equal to or greater than thethreshold), the information processing apparatus according to theembodiment determines that the test result is not legitimate (or isillegal). Here, as the threshold related to the foregoing determinationof the legitimacy of the test result, for example, a fixed thresholdthat is set in advance, a variable threshold that can be changed througha manipulation by the user or the like of the information processingapparatus according to the embodiment, or a threshold that is set inaccordance with a learning result of the motion of the visual line ofthe user corresponding to the illegitimate test result can bexemplified.

As further another example, the information processing apparatusaccording to the embodiment can determine whether the test result islegitimate, for example, by comparing a change in an attitude of theuser estimated from detected data of an attitude sensor worn by the user(which is an example of the content indicated by the third data) with achange in an origination of the user estimated from a captured imagegenerated by an imaging device that images the user (which is anotherexample of the content indicated by the third data). For example, in acase in which a difference between the change in the attitude of theuser estimated from the detected data of the attitude sensor worn by theuser and the change in the attitude of the user estimated from thecaptured image generated by the imaging device that images the user isgreater than a set threshold (or a case in which the difference is equalto or greater than the threshold), the information processing apparatusaccording to the embodiment determines that the test result is notlegitimate (or is illegal). That is, for example, in a case in which thechange in the attitude of the user estimated from the detected data ofthe attitude sensor worn by the user and the change in the attitude ofthe user estimated from the captured image generated by the imagingdevice that images the user considerably deviate from each other, theinformation processing apparatus according to the embodiment candetermine that the test result is not legitimate.

Further, the information processing apparatus according to theembodiment can also determine whether the test result is legitimate, forexample, by comparing “content indicated by one or both of environmentalinformation indicating an environment around the user, such as atemperature, humidity, and brightness and positional informationacquired from the biological sensor worn by the user who is an examinee(which is an example of the content indicated by the third data)” with“content indicated by one or both of positional information acquiredfrom another sensor and environmental information” (another example ofcontent indicated by the third data). The information processingapparatus according to the embodiment determines that the test result isnot legitimate in a case in which the comparison results considerablydeviate from each other as in the determination based on the change inthe attitude.

The information processing apparatus according to the embodiment canfurther determine the legitimacy of the test result on the basis of thethird data, for example, as described above. Note that it is needless tosay that an example of the process related to the determination of thelegitimacy of the test result based on the third data is not limited tothe foregoing examples.

The information processing apparatus according to the embodiment canevaluate the test result of the user by additionally using the thirddata, for example, as described in the foregoing (1) and (ii). That is,the third data according to the embodiment can be said to be an exampleof data additionally used to evaluate the user who is an evaluationtarget. Hereinafter, data additionally used to evaluate an evaluationtarget as in the third example according to the embodiment is referredto as “additional data.”

In a case in which the target data is data indicating the test result,the information processing apparatus according to the embodimentevaluates the test result of the user, for example, as described above.

Note that as a case in which the target data is data other than the dataindicating the test result will described below, the evaluation targetcan be evaluated by performing a process of one or two or morethresholds or a legitimacy determination process even in a case in whichthe target data is the data other than the data indicating the testresult, as in the case in which the target data indicates the dataindicating the test result.

Further, the process of evaluating the evaluation target according tothe embodiment is not limited to the threshold process and thelegitimacy determination process, and may be any process capable ofevaluating the evaluation target.

(a-2) Data Indicating Learning Result

In a case in which the target data is data indicating a learning result,the information processing apparatus according to the embodimentevaluates the learning result.

As the data indicating the learning result, for example, one or both ofdata indicating academic degrees acquired in a university or the likeand data indicating credits in a university or the like can beexemplified.

The information processing apparatus according to the embodimentdetermines pass or fail of an admission test, an employment entrancetest, a scholarship examination, or the like, for example, bydetermining whether the learning result indicated by the data indicatingthe learning result satisfies one or two or more set conditions (whichare examples of the evaluation index). Here, a determination result ofthe pass or fail of the admission test or the like is equivalent to aresult obtained by evaluating the user.

(a-3) Data Regarding Inspection Result of Health Diagnosis

When the target data is data regarding an inspection result, theinformation processing apparatus according to the embodiment evaluatesthe inspection result.

As the data regarding the inspection result, for example, dataindicating inspection results of any inspection item such as a height, aweight, and a blood pressure can be exemplified.

The information processing apparatus according to the embodimentdetermines a health state of the user, for example, by determiningwhether the inspection result indicated by the data indicating theinspection result satisfies one or two or more set conditions (which areexamples of the evaluation index). Here, the determination result of thehealth state of the user is equivalent to a result obtained byevaluating the user.

As one example, the information processing apparatus according to theembodiment determines the inspection result of the user by comparing anumerical value specified on the basis of data regarding the inspectionresult (which is an example of the target data) with one or two or moreset predetermined threshold, as in the case in which the target datadescribed in the foregoing (a-1) is the data indicating the test result.

Further, for example, in a case in which the target data furtherincludes additional data indicating a state in which the user undergoesan inspection or an environment in which the user undergoes theinspection, the information processing apparatus according to theembodiment can also evaluate the inspection result of the user on thebasis of the additional data, as in the case in which the target datadescribed in the foregoing (a-1) is the data indicating the test result.

As the additional data indicating the state in which the user undergoesthe inspection, for example, data indicating one or more of “a change inan attitude of the user who is an inspection target” and “anotherapplication state other than an application related to the inspection(or a situation of the other application)” can be exemplified. Further,as the additional data indicating the environment in which the userundergoes the inspection, for example, one or both of “positionalinformation indicating the position of the user who is the inspectiontarget” and “environmental information indicating the environmentrelated to the user who is the inspection target” can be exemplified.

As an example of a process based on the additional data in a case inwhich the target data is data regarding the inspection result, theinformation processing apparatus according to the embodiment adjusts anumerical value specified on the basis of the data regarding theinspection result (which is an example of the target data) on the basisof the additional data, for example, as in the process described in theforegoing (i). Then, the information processing apparatus according tothe embodiment evaluates the inspection result of the user by comparingthe adjusted numerical value with one or two or more set predeterminedthresholds.

Further, as another example of the process based on the additional datain the case in which the target data is the data regarding theinspection result, the information processing apparatus according to theembodiment further determine the legitimacy of the inspection result ofthe user on the basis of the additional data, for example, as in theprocess described in the foregoing (ii).

Further, the information processing apparatus according to theembodiment can also perform both a process related to the adjustment ofthe numerical value based on the additional data and a process relatedto the determination of the legitimacy of the inspection result based onthe additional data.

Note that it is needless to say that an example of the target data in acase in which the evaluation target is the user and an example of thedetermination in a case in which the evaluation target is the user arenot limited to the examples described in the foregoing (a-1) to (a-3).

(b) Example of Target Data Regarding Company, Party, Organization, orthe Like

As target data regarding to a company or the like, for example, one orboth of data indicating financial results of the company or the like anddata indicating news related to the company or the like can beexemplified.

For example, in a case in which the target data includes the dataindicating the financial results, the information processing apparatusaccording to the embodiment evaluates the company or the like bydetermining whether the financial results satisfy one or two or more setconditions (which are examples of the evaluation index) and setting arating of the company or the like. Further, in a case in which thetarget data includes the data indicating the news related to the companyor the like, the information processing apparatus according to theembodiment may evaluate the company or the like by determining whethercontent of the news is negative or positive and setting the rating ofthe company or the like. Here, a result obtained by setting the ratingof the company or the like is equivalent to a result obtained byevaluating the company or the like.

Note that it is needless to say that an example of the target data inthe case in which the evaluation target is a company, party, ororganization and an example of the determination in a case in which theevaluation target is the company, party, or organization are not limitedto the foregoing examples.

(c) Example of Target Data Regarding Object

For example, in a case in which an object of the evaluation target is anore such as diamond or gold, for example, data in each stage from miningto processing of the ore can be exemplified as target data regarding theobject.

For example, in a case in which the object of the evaluation target isan ore, for example, the following data can be exemplified as the targetdata regarding the object:

-   -   “data indicating an evaluation result of the object with a        numerical value”: an example of data equivalent to the        above-described first data; and    -   “raw data indicating an inspection record” at the time of        evaluation inspection serving a basis of the determination of        the evaluation: an example of data equivalent to the        above-described second data.

The information processing apparatus according to the embodimentdetermines a worth of the ore, for example, by determining whether thedata in each stage from the mining to the processing of the oresatisfies one or two or more set conditions (where are examples of theevaluation index). Here, the determination result of the worth of theore is equivalent to a result obtained by evaluating the ore (which isan example of the objet).

As one example, the information processing apparatus according to theembodiment determines the worth of the ore by comparing a numericalvalue specified on the basis of the target data regarding the object(which is an example of the target data) with one or two or more setpredetermined thresholds, as in the case in which the target datadescribed in the foregoing (a-1) is the data indicating the test result.

Further, for example, in a case in which the target data furtherincludes the additional data indicating a state in which the object isinspected for evaluation or an environment in which the object isinspected for the evaluation, the information processing apparatusaccording to the embodiment can also determine the worth of the orefurther on the basis of the additional data, as in the case in which thetarget data described in the foregoing (a-1) is the data indicating thetest result.

As the additional data indicating the state in which the object isinspected for evaluation in the case in which the object of theevaluation target is an ore, for example, raw data in each stage frommining to processing of the ore can be exemplified. Further, as theadditional data indicating the environment in which the object isinspected for the evaluation in the case in which the object of theevaluation target is the ore, for example, one or both of “positionalinformation indicating the position of an evaluator who performs aninspection related to the evaluation” and “environmental informationindicating an environment related to the evaluator” can be exemplified.The additional data indicating the environment in which the object isinspected for the evaluation is generated by, for example, a biologicalsensor or the like worn by the evaluator in the inspection related tothe evaluation. Further, the additional data indicating the environmentin which the object is inspected for the evaluation is associated withtime data at which the inspection related to the evaluation is performedand is recorded on a recording medium such as a recording mediumincluded in a server that manages data.

As an example of a process based on the additional data in the case inwhich the object of the evaluation target is the ore, the informationprocessing apparatus according to the embodiment adjusts a numericalvalue specified on the basis of the target data regarding the object(which is an example of the target data) on the basis of the additionaldata, for example, as in the process described in the foregoing (i).Then, the information processing apparatus according to the embodimentdetermines the worth of the ore by comparing the adjusted numericalvalue with one or two or more set predetermined thresholds.

Further, as another example of the process based on the additional datain the case in which the object of the evaluation target is the ore, theinformation processing apparatus according to the embodiment furtherdetermines legitimacy of the determination result of the worth of theore on the basis of the additional data, for example, as in the processdescribed in the foregoing (ii).

Further, the information processing apparatus according to theembodiment can also perform both the process of adjusting the numericalvalue based on the additional data and the process related to thedetermination of the legitimacy of the determination result of the worthof the ore based on the additional data.

Note that it is needless to say that an example of the target data inthe case in which the evaluation target is the object and an example ofthe determination in the case in which the evaluation target is theobject are not limited to the foregoing examples.

The information processing apparatus according to the embodimentevaluates the evaluation target on the basis of the target data acquiredfrom the blockchain data circulated in the peer-to-peer network, forexample, as in the examples described in the foregoing (a) to (c).

Accordingly, the information processing apparatus according to theembodiment performs the evaluation process described above through theprocess related to the information processing method according to theembodiment, so that the evaluation of the evaluation target based on thetarget data regarding the evaluation target maintained on the networkcan be realized.

Here, since the target data is acquired from the blockchain datacirculated on the peer-to-peer network, a possibility of the target databeing altered is low. Accordingly, the information processing apparatusaccording to the embodiment can legitimately evaluate the evaluationtarget using the target data maintained on the network.

Further, the information processing apparatus according to theembodiment evaluates the evaluation target on the basis of the targetdata acquired from the blockchain data by the set evaluation criterion,as described above. Accordingly, by performing the foregoing evaluationprocess in each of the plurality of information processing apparatusesaccording to the embodiment which can access the peer-to-peer network,it is possible to realize an information processing system capable ofrealizing evaluation of the evaluation target by the criterion of eachevaluator.

Note that the evaluation process is divided into the processes relatedto the information processing method according to the embodiment forconvenience. Accordingly, in the processes related to the informationprocessing method according to the embodiment, for example, theforegoing evaluation process can also be ascertained as two or moreprocesses (in accordance with any dividing method).

[3] Application Example of Information Processing Method According toEmbodiment

Next, the processes related to the information processing methodaccording to the embodiment will be described more specifically whiledescribing use cases to which the information processing methodaccording to the embodiment is applied.

Hereinafter, a case in which the target data is data regarding the testresult of the user (which is an example of the target data regarding theuser) and the information processing apparatus according to theembodiment evaluates the test result of the user who is the evaluationtarget will be described. Further, a case in which the target data isacquired from blockchain data circulated in an existing peer-to-peernetwork related to Bitcoin will be exemplified.

Note that use cases to which the information processing method accordingto the embodiment is applied are not limited to the foregoing examples.The information processing method according to the embodiment can beapplied to, for example, any use case in which evaluation of anevaluation target, such as evaluation of a worth of an ore such asdiamond or gold (which is an example of a case in which the target datais target data regarding the evaluation target), is performed using thetarget data.

FIG. 2 is an explanatory diagram illustrating an example of a use caseto which the information processing method according to the embodimentis applied.

A test organization illustrated in FIG. 2 is an organization thatprovides test questions (or tasks) to each examinee (equivalent to auser). As the test organization, for example, an organization thatperforms a language test such as an English test or an organization thatperforms an entrance test for universities can be exemplified. Note thatonly one test organization is illustrated in FIG. 2, but there may be aplurality of test organizations. Further, only one examinee isillustrated in FIG. 2, but there may be a plurality of examinees.

When an examinee takes a test, a test result is typically maintained ina test organization.

Further, for example, the test organization can grant scores as anevaluation scores on the basis of test results. Note that the grantingof the scores based on the test results may be performed by anevaluation organization.

The evaluation organization illustrated in FIG. 2 is an organizationthat evaluates a test result of the user who is an examinee. Theevaluation organization evaluates the test result of the user, forexample, by using the information processing apparatus according to theembodiment. In the evaluation organization, a result obtained byevaluating the test result of the user is utilized, for example, todetermine pass or fail of an admission test or an employment entrancetest or for health diagnosis. Note that only one evaluation organizationis illustrated in FIG. 2, but there may be a plurality of evaluationorganizations.

In a case in which an existing peer-to-peer network related to Bitcoinis used as the peer-to-peer network according to the embodiment, a testresult is exchanged between the user and the test organization or theevaluation organization just as Bitcoin is exchanged between users.

FIG. 3 is an explanatory diagram illustrating an example of a use caseto which the information processing method according to the embodimentis applied. FIG. 3 illustrates an example of data included in blockchaindata circulated in the peer-to-peer network. Here, a transaction IDillustrated in FIG. 3 is exemplary. As the transaction ID, for example,a value subjected to base58 encoding can be exemplified (the sameapplies below).

For example, the data illustrated in FIG. 3 remains on the blockchaindata in a form in which the data is encrypted and anyone can browse thedata. For example, a history of a state in which a user B takes a testor the user B submits a test result to the evaluation organization canbe ascertained with reference to the data illustrated in FIG. 3.

FIG. 3 is an explanatory diagram illustrating the example of the usecase to which the information processing method according to theembodiment is applied. Hereinafter, an example of the use case to whichthe information processing method according to the embodiment is appliedwill be described with reference to FIG. 2.

(0) Preparation Stage (S100 of FIG. 2)

Each of the user, the test organization, and the evaluation organizationhas a different secret key, generates a public key with each secret key,and generate an address from the public key. Hereinafter, the address ofthe user is referred to as a “U address,” the address of the testorganization is referred to as a “T address,” and the address of theevaluation organization is referred to as an “E address.”

The address is changed for each transaction. Therefore, for example,each address is suffixed for expression like a U0 address (which is anexample of the address of the user) or a U1 address (which is an exampleof the address of the user) below.

As described above, in the peer-to-peer network according to theembodiment, a plurality of addresses can be managed with a wallet as inthe structure of Bitcoin. Here, to further improve safety, the addressis preferably changed for each transaction.

(1) Test Taken by User (S102 of FIG. 2)

For example, in a case in which a test is performed in accordance withan existing test scheme such as computer based test (CBT), answers ofthe user (examinee) to the test questions are generally collected in theserver.

On the other hand, in a case in which the information processing methodaccording to the embodiment is used, data with the following variouskinds of content can be collected as the data (which is an example ofthe target data) regarding the test result of the user. Here, examplesof the following data are examples of the data which can be collected ina case in which the user answers multiple-choice questions.

-   -   selected answers    -   a time taken for answers    -   the number of clicks of mouse at time of answers    -   movement of mouse    -   memo content on screen    -   information acquired from captured image captured by the imaging        device (for example, a motion of a visual line, a motion of a        body, a change in an attitude)    -   information acquired by the biological sensor (for example, a        heart rate, a amount of perspiration, a body temperature, a        blood oxygen level, an electrocardiogram, a distance from an        answer input device, an attitude, a temperature, an atmospheric        pressure, humidity, and brightness).

The foregoing data based on the answers of the user are collected in,for example, an apparatus such as a server of the test organization andis subsequently transmitted to the peer-to-peer network according to theembodiment. Note that the foregoing data may be transmitted to thepeer-to-peer network according to the embodiment without passing throughthe apparatus such as the server of the test organization.

(2) Transmission of Test Result to Peer-to-peer Network (S104 of FIG. 2)

The apparatus such as the server of the test organization records thedata (raw data) based on the answers of the user on a recording medium.

Further, the apparatus such as the server of the test organizationtransmits, for example, one or both of the data based on the answers ofthe user and data in which the data based on the answers of the user isshaped is transmitted to the peer-to-peer network according to theembodiment. As the shaped data, for examples, scores which are given onthe basis of the data based on the answers of the user and serve asevaluation scores can be exemplified. The grating of the scores isequivalent to scoring by the test organization. In the apparatus such asthe server of the test organization, for example scores are given in acase in which answers to all the test questions in a test can beobtained. Further, in the apparatus such as the server of the testorganization, for example, scores may be given for each test question ofa test. As a scale of the scores to be given (a scale of a scoringresult), as described above, various scales such as scores of a singlewhole test and scores of each small question can be exemplified. Thescale of the scores to be given may be decided in advance or may bedecided depending on an application.

Here, the data based on the answers of the user and the shaped data areequivalent to the target data.

Note that which data is transmitted as the target data to thepeer-to-peer network according to the embodiment can be changed bymutual agreement of the user and the test organization. For example, thetarget data to be transmitted to the peer-to-peer network according tothe embodiment may be restricted by the user.

Further, the apparatus such as the server of the test organization maytransmit the given scores (the scoring result of the test) to, forexample, an apparatus carried by the user. The transmission of the givenscores is performed via the peer-to-peer network, for example, as inremittance of Bitcoin on an existing peer-to-peer network related toBitcoin. Further, the transmission of the given scores may be performedin such a manner that the apparatus such as the server of the testorganization and the apparatus carried by the user perform communicationdirectly (or via a network).

FIG. 5 is an explanatory diagram illustrating an example of a use caseto which the information processing method according to the embodimentis applied. FIG. 5 illustrates an overview of the transmission of scoresfrom the apparatus such as the server of the test organization to theapparatus carried by the user.

A transmitter A illustrated in FIG. 5 is equivalent to the apparatussuch as the server of the test organization and is equivalent to aremitter of Bitcoin in the existing peer-to-peer network related toBitcoin. Further, a receiver B illustrated in FIG. 5 is equivalent tothe apparatus carried by the user and corresponds to a recipient ofBitcoin in the existing peer-to-peer network related to Bitcoin.

(3) Circulation of Blockchain Data of Target Data (S106 of FIG. 2)

FIG. 6 is an explanatory diagram illustrating an example of a use caseto which the information processing method according to the embodimentis applied. A of FIG. 6 illustrates an overview of blockchain data in acase in which the peer-to-peer network according to the embodiment isthe existing peer-to-peer network related to Bitcoin. Further, B of FIG.6 illustrates an example of a transaction in the blockchain data and isequivalent to an example of the target data included in the blockchaindata.

As illustrated in A of FIG. 6, in the blockchain data, a plurality ofblocks are connected like chains. In one block, a plurality oftransaction records are stored as transactions. Each transactionincludes target data, for example, as illustrated in B of FIG. 6. Here,B of FIG. 6 illustrates transaction records in a case in which the testorganization transmits data of scores which is a scoring result (whichis an example of the target data) to the user A.

(4) Confirmation of Test Result by User (S108 of FIG. 2)

FIG. 7 is an explanatory diagram illustrating an example of a use caseto which the information processing method according to the embodimentis applied. FIG. 7 conceptually illustrates an example of thepeer-to-peer network in which the blockchain data is circulated.

As described in the foregoing (3), the target data is circulated inaccordance with the blockchain data, and thus a participant of thepeer-to-peer network who can access the peer-to-peer network in whichthe blockchain data is circulated can acquire an encrypted transactionrecord including the target data, as illustrated in FIG. 7. However, aparticipant who does not have a secret key corresponding to the publickey used for the encryption may not perform decryption.

Further, as described above, for example, transmission of the givenscores is performed via the peer-to-peer network as in remittance ofBitcoin in the existing peer-to-peer network related to Bitcoin.Accordingly, the user who has a secret key corresponding to the publickey used for the encryption can safely acquire the scores which are thescoring result of the test which the user took via the peer-to-peernetwork.

(5) Submission of Test Result by User (S110 of FIG. 2)

The target data corresponding to the test result of the user iscirculated in the peer-to-peer network in a form in which the targetdata is included in the blockchain data. Therefore, the evaluationorganization can acquire the test result of the user from thepeer-to-peer network, and thus submission of the test result to theevaluation organization can be further simplified.

For example, when an English test is assumed, generally, official scoresof the English test are maintained by the test organization and acertificate of a test result is issued by the test organization. On theother hand, in a case in which the information processing methodaccording to the embodiment is used, official scores of the English testremain in the blockchain data in a form in which anybody can browse theofficial scores in the encrypted state (however, only a specific personcan perform decryption).

For example, in a case in which a plurality of addresses are managedwith a wallet of the user, a plurality of addresses related to aprevious taken test are maintained. Here, whether the addresses aremaintained for each test or are maintained for each question of the testor are reduced as small as possible depends on a security policy.Further, as a method of further improving safety, for example, a methodof segmenting the addresses for each transaction can be exemplified.

FIG. 8 is an explanatory diagram illustrating an example of a use caseto which the information processing method according to the embodimentis applied. FIG. 8 illustrates an example of data included in theblockchain data circulated in the peer-to-peer network as in FIG. 3.

Here, as illustrated in A of FIG. 8, a user side can use the pluralityof addresses in a single test,

As illustrated in A of FIG. 8, when the plurality of addresses are used,an advantageous effect of further improving safety is expected.

The example illustrated in FIG. 8 is an example in which the user usesthe U3 address to submit data of the scores which is a test result(which is an example of the target data) to two evaluationorganizations, an evaluation organization corresponding to an EA addressand an evaluation organization corresponding to an EB address. Note thatthe example illustrated in FIG. 8 is an example in which the data of thescores is submitted as the data regarding the test result of the user(which is an example of the target data), but as described above, thedata regarding the test result of the user can include data of variouskinds of content such as a time necessary for answers or informationacquired by the biological sensor.

FIG. 9 is an explanatory diagram illustrating an example of a use caseto which the information processing method according to the embodimentis applied. FIG. 9 illustrates an example of a user interface (UI)related to the submission of the test result by the user.

For example, the management of a grade of the test of the user (which isequivalent to a test result) and the submission of the grade to theevaluation organization are realized on one screen by using the UIillustrated in FIG. 9. Note that it is needless to say that an exampleof a UI related to the management of the grade of the user according tothe embodiment is not limited to the example illustrated in FIG. 9.

(6) Evaluation of Test Result of User by Evaluation Organization (S112of FIG. 2)

FIG. 10 is an explanatory diagram illustrating an example of a use caseto which the information processing method according to the embodimentis applied. FIG. 10 illustrates an example of data included in theblockchain data circulated in the peer-to-peer network as in FIG. 3.Hereinafter, an overview of evaluation (an overview of evaluationthrough the evaluation process in the information processing apparatusaccording to the embodiment) in the evaluation organization will bedescribed exemplifying data illustrated in FIG. 10.

For example, a contents ID associated with a transaction ID illustratedin FIG. 10 uniquely indicates a single whole test or Question 1 in thetest. The contents ID can be said to be an ID indicating the targetdata.

A scale of the contents necessary in the evaluation organization(content indicated by the target data) can be different. As the scale ofthe contents necessary in the evaluation organization, for example,various scales such as scores of a single test (final evaluation points)or each question (raw score) can be exemplified.

As described above, in a case in which the target data is data regardinga test result of the user, one or both of the first data in which thetest result of the user is indicated by a numerical value and the seconddata in which the test result of the user is indicated by a value otherthan the numerical value can be exemplified as the target data. Further,as described above, in a case in which the target data is data regardingthe test result of the user, the target data may further include thethird data indicating a state in which the user takes a test or anenvironment in which the user takes the test.

In the example illustrated in FIG. 10, for example, “scores ofquestions” is equivalent to the first data. Further, in the exampleillustrated in FIG. 10, for example, “answer content of questions” and“correct or incorrect answers to the questions” is equivalent to thesecond data. Further, in the example illustrated in FIG. 10, forexample, “an answer time of questions,” “a motion of a visual line of anexaminee,” “a change in an attitude of the examinee,” “a heart rate or aamount of perspiration of the examinee,” “an input speed of a keyboard,”“a motion of a pointer,” and “a situation of another application” areequivalent to the third data. Further, as described above, one or bothof “positional information of the examinee” and “environmentalinformation around the examinee (data indicating a temperature, anatmospheric pressure, humidity, brightness, or the like)” may beincluded as the third data.

Here, for example, a presenting order of the questions or an answeringorder of the user can be determined from an order of transactionsrecorded on a blockchain. Further, depending on the format of datarecorded on the blockchain, the presenting order of the questions or theanswering order of the user may not be determined from the order of thetransactions recorded on the blockchain in some cases. In a case inwhich the presenting order of the questions or the like may not bedetermined from the order of the transactions, information indicatingone or both of the presenting order of the questions and the answeringorder of the user may be included in the second data or the second data.

For example, the evaluation organization acquires data indicating theraw scores from the blockchain data and calculates independent scores ofthe evaluation organization (which is an example of the evaluationprocess based on the above-described first data) for evaluation. Notethat the evaluation organization can also perform evaluation throughanother process such as an evaluation process based on theabove-described second data or an evaluation process based on theabove-described third data, as described above.

Here, it is guaranteed that the data acquired from the blockchain datais safe and is not altered. Accordingly, by performing the evaluation onthe basis of the target data acquired from the blockchain data, forexample, “exchange of only data regarding the test result of the user(which is an example of the target data) and independent evaluation byeach evaluation organization” can be realized.

FIG. 11 is an explanatory diagram illustrating an example of a use caseto which the information processing method according to the embodimentis applied. FIG. 11 illustrates an example of a case in which anotherevaluation is performed on the same test result by another evaluationorganization.

In a case in which the test result illustrated in A of FIG. 11 isevaluated by each of evaluation organizations X and Y, the evaluationresult may differ, as illustrated in B of FIG. 11.

Here, B of FIG. 11 illustrates an example in which the raw scores aregiven by the evaluation organization X. Further, B of FIG. 11illustrates an example in which the evaluation organization Y performsaddition of scores (which is example of adjustment of the scores) inaccordance with an answer time or the like. As a specific example, inthe example illustrated in B of FIG. 11, the evaluation organization Yperforms the addition of scores, as indicated by P, as the answer timeis shorter. Further, in the example illustrated in B of FIG. 11, theevaluation organization Y performs the addition, as indicated by Q, inaccordance with partial scores although the answer time is long.

(7) Delivery of Evaluation Result to User (S114 of FIG. 2)

When the test result is submitted by the user, as described in theforegoing (5), the evaluation organization can consider that the userrequests evaluation. Here, a specific example of the request of theevaluation by the user is equivalent to, for example, application to anentrance test to a school or an employment entrance test of a company.

Accordingly, the evaluation organization delivers a result of theevaluation of the test result (pass or fail of the admission test) ofthe user by the evaluation organization described in the foregoing (6)to the user.

Here, as a method of delivering the result of the evaluation to theuser, for example, any method capable of delivering the result of theevaluation of the user to the user, such as “delivery via a peer-to-peernetwork in accordance with the same method as the remittance of Bitcoinin the existing peer-to-peer network related to Bitcoin” “deliverythrough direct communication (or via a network) among a server of theevaluation organization, an apparatus such as the information processingapparatus according to the embodiment, and the apparatus carried by theuser”, or “delivery by post,” can be exemplified.

[4] Example of Advantageous Effect Provided Using Information ProcessingMethod According to Embodiment

When the information processing apparatus according to the embodimentperforms the evaluation process related to the information processingmethod according to the embodiment, for example, the followingadvantageous effects can be obtained. Note that it is needless to saythat advantageous effects obtained using the information processingmethod according to the embodiment are not limited to the followingadvantageous effects.

For example, in a case in which a test is performed in accordance withan existing test scheme such as CBT, a test organization and anevaluation organization are identical in many cases. Further, in a casein which a test is performed in accordance with an existing test scheme,a test made by a specific evaluation organization can be provided byanother test organization. When the information processing methodaccording to the embodiment is used, a test result submitted from a userto the test organization is completely separated from a test resultevaluated by the evaluation organization. Accordingly, when theinformation processing method according to the embodiment is used, theevaluation organization can flexibly evaluate the test result of theuser, for example, by scoring the test result of the user in accordancewith an independent criterion even in a case in which the testorganization and the evaluation organization are different.

In a case in which the information processing method according to theembodiment is used, the target data is acquired from the blockchain datacirculated in the peer-to-peer network. Here, the target data isencrypted on the blockchain data. Therefore, anyone who can access thepeer-to-peer network can touch the target data, but the target data isnot decrypted when there is no secret key corresponding to the encryptedtarget data. Accordingly, in the case in which the informationprocessing method according to the embodiment is used, theconfidentiality of the content indicated by the target data can besufficiently guaranteed while setting the target data as open data whichis data which can be touched by anyone.

For example, in a case in which a test is performed in accordance withan existing test scheme such as CBT, illegality can be examined by thetest organization in a case in which there is the illegality in thetest. In the case in which the information processing method accordingto the embodiment is used, the target data is maintained as open data onthe peer-to-peer network. Therefore, the evaluation organization canalso evaluate legitimacy of the test while valuating a test result. Forexample, in a case in which a certain examinee cheats and answers in ashort time, there is a possibility of illegality being determined by theevaluation organization by statistically evaluating from anotherviewpoint even when the test organization may not determine theillegality when the information processing method according to theembodiment is used.

The use case in which the test result of the user who is the evaluationtarget has been exemplified above as the use case to which theinformation processing method according to the embodiment is applied.However, as described above, a use case to which the informationprocessing method according to the embodiment can be applied is notlimited to the foregoing example. For example, evaluation of a heathstate of a user who is an evaluation target can be realized with thesame structure as the structure evaluating the test result of the user,as described above. For example, the evaluation organization whichoutputs a second opinion can output the second opinion by acquiring dataregarding an inspection result of health diagnosis of a user who is theevaluation target (for example raw data indicating a measured inspectionrecord; so-called healthcare data) from the blockchain data circulatedin the peer-to-peer network and evaluating the data. In this example,for example, “a result of the health diagnosis” evaluated step by stepsuch as 10 steps from “1” to “10” is equivalent to the first data.Further, in this example, for example, “the raw data indicating theinspection record” is equivalent to the second data. Further, forexample, while a medical examinee takes a health diagnosis, a devicecontinuously measuring biological information of the medical examinee orenvironmental surrounding information may be worn by the medicalexaminee, and one or both of biological information indicating a heartrate, a amount of perspiration, a body temperature, a blood oxygenlevel, an electrocardiogram or an attitude and the surroundingenvironmental information indicating a distance from a medicalexamination input device, a temperature, an atmospheric pressure,humidity, and brightness may be recorded on a recording medium alongwith time information. In a case in which the biological information orthe like is recorded, the “biological information” and the “surroundingenvironmental information” of the medical examinee are equivalent to theadditional data.

(Information Processing Apparatus According to the Present Embodiment)

An example of a configuration of the information processing apparatusaccording to the present embodiment which can perform theabove-described processing associated with the information processingmethod according to the present embodiment will be described next.

FIG. 12 is a block diagram illustrating an example of the configurationof the information processing apparatus 100 according to the presentembodiment. The information processing apparatus 100 includes, forexample, a communication unit 102 and a control unit 104.

Further, the information processing apparatus 100 may include, forexample, a read only memory (ROM, which is not illustrated), a randomaccess memory (RAM, which is not illustrated), a storage unit (which isnot illustrated), an operation unit (which is not illustrated) which canbe operated by the user, a display unit (which is not illustrated) whichdisplays various screens on a display screen, or the like. Theinformation processing apparatus 100, for example, connects theabove-described respective components using a bus which is a datatransmission path.

The ROM (which is not illustrated) stores control data such as a programand an operation parameter to be used by the control unit 104. The RAM(which is not illustrated) temporarily stores a program to be executedby the control unit 104.

The storage unit (which is not illustrated) is storage means included inthe information processing apparatus 100 and stores, for example, datarelated to the information processing method according to theembodiment, such as a cryptographic key corresponding to an evaluationtarget or a table in which content which may be indicated by the seconddata matches numerical values, or various kinds of data such as variousapplications. Here, examples of the storage unit (which is notillustrated) can include, for example, a magnetic recording medium suchas a hard disk, and a nonvolatile memory such as a flash memory.Further, the storage unit (which is not illustrated) may be detachablefrom the information processing apparatus 100.

Examples of the operation unit (which is not illustrated) can include anoperation input device which will be described later. Further, examplesof the display unit (which is not illustrated) can include a displaydevice which will be described later.

[Hardware Configuration Example of Information Processing Apparatus 100]

FIG. 13 is an explanatory diagram illustrating an example of a hardwareconfiguration of the information processing apparatus 100 according tothe present embodiment. The information processing apparatus 100includes, for example, an MPU 150, a ROM 152, a RAM 154, a recordingmedium 156, an input/output interface 158, an operation input device160, a display device 162 and a communication interface 164. Further,the information processing apparatus 100 connects the respectivecomponents using a bus 166 which is a data transmission path.

The MPU 150 includes, for example, one or more processors including anarithmetic circuit such as an MPU, various kinds of processing circuits,or the like, and functions as a control unit 104 which controls thewhole of the information processing apparatus 100. Further, the MPU 150plays a role of, for example, a processing unit 110 which will bedescribed later, in the information processing apparatus 100. Note thatthe processing unit 110 may include a dedicated (or general-purpose)circuit (such as, for example, a processor separate from the MPU 150)which can realize processing of the processing unit 110.

The ROM 152 stores control data such as a program and an operationparameter, or the like, to be used by the MPU 150. The RAM 154temporarily stores a program, or the like, to be executed by the MPU150.

The recording medium 156 functions as a storage unit (which is notillustrated) and, for example, stores data associated with theinformation processing method according to the present embodiment suchas a cryptographic key corresponding to the evaluation target andvarious kinds of data such as various kinds of application. Here,examples of the recording medium 156 can include, for example, amagnetic recording medium such as a hard disk, and a nonvolatile memorysuch as a flash memory. Further, the recording medium 156 may bedetachable from the information processing apparatus 100.

The input/output interface 158, for example, connects the operationinput device 160 and the display device 162. The operation input device160 functions as an operation unit (which is not illustrated), and thedisplay device 162 functions as a display unit (which is notillustrated). Here, examples of the input/output interface 158 caninclude, for example, a universal serial bus (USB) terminal, a digitalvisual interface (DVI) terminal, a high-definition multimedia interface(HDMI) (registered trademark) terminal and various kinds of processingcircuits.

Further, the operation input device 160, for example, is provided on theinformation processing apparatus 100, and is connected to theinput/output interface 158 inside the information processing apparatus100. Examples of the operation input device 160 can include, forexample, a button, a direction key, a rotary selector such as a jog dialor combination thereof.

Further, the display device 162 is, for example, provided on theinformation processing apparatus 100 and is connected to theinput/output interface 158 inside the information processing apparatus100. Examples of the display device 162 can include, for example, aliquid crystal display, an organic electro-luminescence (EL) display,and an organic light emitting diode (OLED) display.

Note that it goes without saying that the input/output interface 158 canbe connected to an external device such as an external operation inputdevice (such as, for example, a keyboard and a mouse) and an externaldisplay device of the information processing apparatus 100. Further, thedisplay device 162 may be a device which can perform display and allowuser operation, such as, for example, a touch panel.

The communication interface 164 is communication means included in theinformation processing apparatus 100 and functions as the communicationunit 102 that performs wireless or wired communication with an externalapparatus that forms the peer-to-peer network according to theembodiment. Further, the communication interface 164 may have, forexample, a function of performing wired or wireless communication withany external apparatus such as a server via any network (or directly).Here, examples of the communication interface 164 can include, forexample, a communication antenna and a radio frequency (RF) circuit(wireless communication), an IEEE802.15.1 port and atransmission/reception circuit (wireless communication), an IEEE802.11port and a transmission/reception circuit (wireless communication) and alocal area network (LAN) terminal and a transmission/reception circuit(wired communication).

The information processing apparatus 100 performs the processingassociated with the information processing method according to thepresent embodiment according to the configuration illustrated in, forexample FIG. 8. Note that the hardware configuration of the informationprocessing apparatus 100 according to the present embodiment is notlimited to the configuration illustrated in FIG. 13.

For example, in the case where the information processing apparatus 100performs communication with an external apparatus, or the like, via aconnected external communication device, the information processingapparatus 100 does not have to include the communication interface 164.Further, the communication interface 164 may have a configuration so asto be able to perform communication with one or more externalapparatuses, or the like, using a plurality of communication schemes.

Further, the information processing apparatus 100 can, for example,employ a configuration which does not include the recording medium 156,the operation input device 160 and the display device 162.

Further, for example, part or all of the components illustrated in FIG.13 (or components according to a modified example) may be implementedwith one or more integrated circuits (ICs).

Referring back to FIG. 12, the example of the configuration of theinformation processing apparatus 100 will be described. Thecommunication unit 102 is communication means included in theinformation processing apparatus 100 and performs wireless or wiredcommunication with an external apparatus that forms the peer-to-peernetwork according to the embodiment. Further, the communication unit 102may have, for example, a function of performing wired or wirelesscommunication with any external apparatus such as a server via anynetwork (or directly). Further, the communication of the communicationunit 102 is controlled by, for example, the control unit 104.

Here, while examples of the communication unit 102 can include, forexample, a communication antenna and an RF circuit, and a LAN terminaland a transmission/reception circuit, the configuration of thecommunication unit 102 is not limited to the above-described examples.For example, the communication unit 102 can employ a configurationsupporting an arbitrary standard which enables communication, such as aUSB terminal and a transmission/reception circuit, and an arbitraryconfiguration which enables communication with external apparatuses viaa network. Further, the communication unit 102 may have a configurationso as to be able to perform communication with one or more externalapparatuses using a plurality of communication schemes.

The control unit 104, which includes, for example, an MPU, plays a roleof controlling the whole of the information processing apparatus 100.Further, the control unit 104 includes, for example, a processing unit110 and plays a role of leading the processing associated with theinformation processing method according to the present embodiment.

The processing unit 110 has a role of leading the evaluation processrelated to the information processing method according to the embodimentand evaluates the evaluation target on the basis of the target dataacquired from the blockchain data circulated in the peer-to-peernetwork.

For example, the processing unit 110 acquires the target datacorresponding to the evaluation target from the blockchain data byperforming decryption with a cryptographic key corresponding to theevaluation target (for example, a secret key corresponding to a publickey used to encrypt the target data). Further, the processing unit 110evaluates the evaluation target, for example, as in the examplesdescribed in the foregoing (a) to (c).

The control unit 104 includes, for example, the processing unit 110 andthus plays a role of leading the process related to the informationprocessing method according to the embodiment (for example, theevaluation process according to the embodiment).

The information processing apparatus 100 has, for example, theconfiguration illustrated in FIG. 12, and thus performs the processrelated to the information processing method according to the embodiment(the evaluation process according to the embodiment).

Accordingly, the information processing apparatus 100 has, for example,the configuration illustrated in FIG. 12, and thus can realize theevaluation of the evaluation target based on the target data related tothe evaluation target maintained on the network.

Further, the information processing apparatus 100 can provide an effectprovided by the processing associated with the information processingmethod according to the present embodiment as described above beingperformed according to the configuration illustrated in, for example,FIG. 12.

Note that the configuration of the information processing apparatusaccording to the present embodiment is not limited to the configurationillustrated in FIG. 12.

For example, the information processing apparatus according to thepresent embodiment can include the processing unit 110 illustrated inFIG. 12 separately from the control unit 104 (for example, implementsthe processing unit 110 with a separate processing circuit).

Further, as described above, the evaluation process according to theembodiment is a process in which the process related to the informationprocessing method according to the embodiment is defined forconvenience. Accordingly, the configuration for realizing the processrelated to the information processing method according to the embodimentis not limited to the configuration illustrated in FIG. 12 and can be aconfiguration in accordance with the a method of dividing the processrelated to the information processing method according to theembodiment.

Further, for example, in the case where communication is performed withan external apparatus via an external communication device havingfunctions and a configuration similar to those of the communication unit102, the information processing apparatus according to the presentembodiment does not have to include the communication unit 102.

The information processing apparatus has been described above accordingto the embodiment, but the embodiment is not limited to this form. Theembodiment can be applied to, for example, various apparatuses such ascomputers such as a personal computer (PC) and a server capable ofperforming the process related to the information processing methodaccording to the embodiment. Further, the embodiment can be applied to,for example, a processing IC which can be embedded in the foregoingapparatus.

Further, the information processing apparatus according to theembodiment may be applied to a processing system assumed to be connectedto a network (or communication between apparatuses) such as cloudingcomputing. As an example of the processing system that performs theprocess related to the information processing method according to theembodiment, for example, “a system in which one apparatus included inthe processing system performs a partial process of the evaluationprocess related to the information processing method according to theembodiment and another apparatus included in the processing systemperforms a process other than the partial process of the evaluationprocess related to the information processing method according to theembodiment” can be exemplified.

(Program According to the Present Embodiment)

When a program causing a computer to function as the informationprocessing apparatus according to the embodiment (for example, a programcapable of executing a process related to the information processingmethod according to the embodiment, such as an evaluation processaccording to the embodiment) is executed by a processor or the like onthe computer, it is possible to realize evaluation of an evaluationtarget based on the target data regarding the evaluation targetmaintained on a network.

Moreover, when a program that causes a computer to function as theinformation processing apparatus according to the present embodiment isexecuted by a processor or the like in the computer, it is possible toprovide an effect provided by the processing related to the informationprocessing method according to the present embodiment described above.

The preferred embodiment(s) of the present disclosure has/have beendescribed above with reference to the accompanying drawings, whilst thepresent disclosure is not limited to the above examples. A personskilled in the art may find various alterations and modifications withinthe scope of the appended claims, and it should be understood that theywill naturally come under the technical scope of the present disclosure.

For example, it has been illustrated above that a program (computerprogram) that causes a computer to function as the informationprocessing apparatus according to the present embodiment is provided,but the present embodiment can further provide a recording medium inwhich the above-described program is stored together.

The above-described configurations express examples of the presentembodiment and, of course, pertain to the technical scope of the presentdisclosure.

Further, the effects described in this specification are merelyillustrative or exemplified effects, and are not limitative. That is,with or in the place of the above effects, the technology according tothe present disclosure may achieve other effects that are clear to thoseskilled in the art from the description of this specification.

Additionally, the present technology may also be configured as below.

(1)

An information processing apparatus including:

a processing unit configured to evaluate an evaluation target on a basisof target data regarding the evaluation target acquired from blockchaindata circulated on a peer-to-peer network.

(2)

The information processing apparatus according to (1),

in which the processing unit acquires the target data corresponding tothe evaluation target from the blockchain data by performing decryptionwith a cryptographic key corresponding to the evaluation target.

(3)

The information processing apparatus according to (1) or (2),

in which the processing unit evaluates the evaluation target inaccordance with a set evaluation index corresponding to the evaluationtarget.

(4)

The information processing apparatus according to any one of (1) to (3),

in which the evaluation target is a user, and

the processing unit evaluates the user on the basis of the target data.

(5)

The information processing apparatus according to (4),

in which the target data is data regarding a test result of the user,and

the processing unit evaluates the test result of the user.

(6)

The information processing apparatus according to (5),

in which the processing unit evaluates the test result of the user bycomparing a numerical value specified on the basis of the target datawith one or two or more set predetermined thresholds.

(7)

The information processing apparatus according to (6),

in which, in a case in which the target data includes first data inwhich the test result of the user is indicated by a numerical value, thenumerical value specified on the basis of the target data is specifiedon a basis of the numerical value indicated by the first data.

(8)

The information processing apparatus according to (6) or (7),

in which, in a case in which the target data includes second data inwhich the test result of the user is indicated by a value other than anumerical value, the numerical value specified on the basis of thetarget data is specified on a basis of a numerical value acquired on abasis of the second data.

(9)

The information processing apparatus according to any one of (6) to (8),

in which, in a case in which the target data further includes third dataindicating a state in which the user takes a test or an environment inwhich the user takes the test, the processing unit evaluates the testresult of the user further on a basis of the third data.

(10)

The information processing apparatus according to (9),

in which, on the basis of the third data, the processing unit adjuststhe numerical value specified on the basis of the target data, and

the processing unit evaluates the test result of the user by comparingthe adjusted numerical value with the one or more or more predeterminedthreshold values.

(11)

The information processing apparatus according to (9) or (10),

in which the processing unit further determines legitimacy of the testresult on the basis of the third data.

(12)

The information processing apparatus according to any one of (1) to(11),

in which the processing unit evaluates the evaluation target on a basisof a plurality of pieces of the target data corresponding to theevaluation target.

(13)

The information processing apparatus according to (4),

in which the target data is data regarding an inspection result of theuser, and

the processing unit evaluates the inspection result of the user bycomparing the numerical value specified on the basis of the target datawith one or two or more set predetermined thresholds.

(14)

The information processing apparatus according to (13),

in which, in a case in which the target data further includes additionaldata indicating a state in which the user undergoes an inspection or anenvironment in which the user undergoes the inspection, the processingunit evaluates the inspection result of the user further on a basis ofthe additional data.

(15)

The information processing apparatus according to any one of (1) to (3),

in which the evaluation target is an object, and

the processing unit evaluates the object on the basis of the targetdata.

(16)

The information processing apparatus according to (15),

in which the target data is data regarding an evaluation result of theobject, and

the processing unit evaluates the evaluation result of the object bycomparing the numerical value specified on the basis of the target datawith one or two or more set predetermined thresholds.

(17)

The information processing apparatus according to (16),

in which, in a case in which the target data further includes additionaldata indicating a state in which the object undergoes an inspection forevaluation or an environment in which the object undergoes an inspectionfor the evaluation, the processing unit evaluates the inspection resultof the object further on a basis of the additional data.

(18)

An information processing method to be performed by an informationprocessing apparatus, the information processing method including:

a step of evaluating an evaluation target on a basis of target dataregarding the evaluation target acquired from blockchain data circulatedon a peer-to-peer network.

(19)

A program causing a computer to execute a function of evaluating anevaluation target on a basis of target data regarding the evaluationtarget acquired from blockchain data circulated on a peer-to-peernetwork.

REFERENCE SIGNS LIST

-   100 information processing apparatus-   102 communication unit-   104 control unit-   110 processing unit

The invention claimed is:
 1. An information processing apparatuscomprising: processing circuitry configured to: retrieve, from apeer-to-peer network using an address generated from a first public key,a test score of a user, wherein the first public key is generated from afirst secret key, decrypt the test score using a second secret keycorresponding to a second public key used to encrypt the test score, andcalculate an evaluation score of the user based on the retrieved testscore, wherein the test score is included in one or more transactions inblockchain data, the address is used to identify the one or moretransactions to retrieve the test score, and one or more blocks of dataincluding the transactions is circulated on the peer-to-peer network. 2.The information processing apparatus according to claim 1, wherein thetest score is given by a first evaluation organization and theevaluation score is given by a second evaluation organization.
 3. Theinformation processing apparatus according to claim 1, wherein theprocessing circuitry is further configured to retrieve, from thepeer-to-peer network, supplemental data which indicates a state orenvironment of the user when the user takes a test associated with thetest score, and calculate the evaluation score of the user based on theretrieved test score and the retrieved supplemental data, wherein thetest score and the supplemental data are included in the one or moreblocks of data including the transactions, and circulated on thepeer-to-peer network.
 4. The information processing apparatus accordingto claim 1, wherein the peer-to-peer network is a permissionlessnetwork.
 5. The information processing apparatus according to claim 1,wherein the peer-to-peer network is a permissioned network.
 6. Theinformation processing apparatus according to claim 1, wherein the testscore of the user that is included in the one or more blocks of dataincluding the transactions is retrieved in response to a user selection.7. The information processing apparatus according to claim 1, whereinthe processing circuitry is configured to calculate the evaluation scoreof the user based on a comparison of a numerical value of the retrievedtest score with one or more thresholds.
 8. The information processingapparatus according to claim 1, wherein the processing circuitry isconfigured to retrieve, from the peer-to-peer network, supplemental datawhich indicates a state or environment of the user when the user takes atest associated with the test score, adjust the test score based on thesupplemental data, and calculate the evaluation score of the user basedon the adjusted test score.
 9. The information processing apparatusaccording to claim 1, wherein the processing circuitry is configured toretrieve, from the peer-to-peer network, supplemental data whichindicates a state or environment of the user when the user takes a testassociated with the test score, and determine legitimacy of theevaluation score based on the supplemental data which indicates a stateor environment of the user when the user takes a test associated withthe test score.
 10. A method, comprising: retrieving, by processingcircuitry of an information processing apparatus, from a peer-to-peernetwork using an address generated from a first public key, a test scoreof a user, wherein the first public key is generated from a first secretkey; decrypting the test score using a second secret key correspondingto a second public key used to encrypt the test score; and calculating,by the processing circuitry, an evaluation score of the user based onthe retrieved test score, wherein the test score is included in one ormore transactions in blockchain data, the address is used to identifythe one or more transactions to retrieve the test score, and one or moreblocks of data including the transactions is circulated on thepeer-to-peer network.
 11. The method according to claim 10, wherein thetest score is given by a first evaluation organization and theevaluation score is given by a second evaluation organization.
 12. Themethod according to claim 10, further comprising: retrieving, from thepeer-to-peer network, supplemental data which indicates a state orenvironment of the user when the user takes a test associated with thetest score, and calculating the evaluation score of the user based onthe retrieved test score and the retrieved supplemental data, whereinthe test score and the supplemental data are included in the one or moreblocks of data including the transactions, and circulated on thepeer-to-peer network.
 13. The method according to claim 10, wherein thepeer-to-peer network is a permissionless network.
 14. The methodaccording to claim 10, wherein the peer-to-peer network is apermissioned network.
 15. The method according to claim 10, wherein thetest score of the user that is included in the one or more blocks ofdata including the transactions is retrieved in response to a userselection.
 16. The method according to claim 10, wherein the calculatingcomprising: calculating the evaluation score of the user based on acomparison of a numerical value of the retrieved test score with one ormore thresholds.
 17. The method according to claim 10, furthercomprising: retrieving, from the peer-to-peer network, supplemental datawhich indicates a state or environment of the user when the user takes atest associated with the test score, adjusting the test score based onthe supplemental data, and calculating the evaluation score of the userbased on the adjusted test score.
 18. A non-transitory computer-readablemedium storing instructions which when executed by a computer cause thecomputer to perform a method, the method comprising: retrieving, from apeer-to-peer network using an address generated from a first public key,a test score of a user, wherein the first public key is generated from afirst secret key; decrypting the test score using a second secret keycorresponding to a second public key used to decrypt the test score; andcalculating an evaluation score of the user based on the retrieved testscore, wherein the test score is included in one or more transactions inblockchain data the address is used to identify the one or moretransactions to retrieve the test score, and one or more blocks of data,including the transactions is circulated on the peer-to-peer network.19. The non-transitory computer-readable medium according to claim 18,wherein the test score is given by a first evaluation organization andthe evaluation score is given by a second evaluation organization. 20.The non-transitory computer-readable medium according to claim 18, themethod further comprising: retrieving, from the peer-to-peer network,supplemental data which indicates a state or environment of the userwhen the user takes a test associated with the test score, andcalculating the evaluation score of the user based on the retrieved testscore and the retrieved supplemental data, wherein the test score andthe supplemental data are included in the one or more blocks of dataincluding the transactions, and circulated on the peer-to-peer network.21. The non-transitory computer-readable medium according to claim 18,wherein the peer-to-peer network is a permissionless network.
 22. Thenon-transitory computer-readable medium according to claim 18, whereinthe peer-to-peer network is a permissioned network.
 23. Thenon-transitory computer-readable medium according to claim 18, whereinthe test score of the user that is included in the one or more blocks ofdata including the transactions is retrieved in response to a userselection.
 24. The non-transitory computer-readable medium according toclaim 18, wherein the calculating comprising: calculating the evaluationscore of the user based on a comparison of a numerical value of theretrieved test score with one or more thresholds.
 25. The non-transitorycomputer-readable medium according to claim 18, further comprising:retrieving, from the peer-to-peer network, supplemental data whichindicates a state or environment of the user when the user takes a testassociated with the test score, adjusting the test score based on thesupplemental data, and calculating the evaluation score of the userbased on the adjusted test score.